At a Glance
- Tasks: Lead AI projects, architect solutions, and collaborate with diverse teams in finance tech.
- Company: Global finance technology consultancy with a friendly and diverse culture.
- Benefits: Salary up to £125k, private medical care, gym membership, and generous pension.
- Other info: Hybrid work model with excellent career growth opportunities.
- Why this job: Join a cutting-edge team and make a real impact in the financial services sector.
- Qualifications: 2.1 degree in Computer Science or related field, strong Python and LLM experience.
The predicted salary is between 100000 - 125000 £ per year.
London, Greater London | £100k - £125k per year
Are you an experienced Software Engineer with a strong knowledge of AI, LLMs and agentic coding? You could be progressing your career at a global finance technology consultancy, working with clients including global Investment Banks and financial services organisations.
What's in it for you:
- Salary to £125k
- Pension, Life Assurance, Income Protection
- Private medical care for you and your family, including mental health
- Travel Insurance
- Charitable giving
- Gym membership for you and your family
Your role:
As a Lead Software Engineer you will architect AI solutions, embed them within enterprise environments and drive impactful outcomes through advanced engineering, scalable pipelines and deep cross-functional collaboration. This is a highly technical role where you'll be leading client projects, productionising systems and running multi-modal LLMs, using your expertise to build and deploy cutting-edge generative AI and agentic systems across the financial services sector.
Location / WFH:
There's a hybrid work from home policy with three days a week in the London, City office (or at client sites), you'll join a friendly, diverse, upbeat team.
About you:
- You have achieved a 2.1 or above bachelor's degree in Computer Science, AI or related STEM disciplines
- You have hands‑on experience deploying LLMs and multi‑modal models at scale in production
- You have a strong understanding of scalable MLOps, observability and cloud‑native AI deployment
- You have strong Python coding skills and API development skills
- You're collaborative and pragmatic with advanced stakeholder communication, problem‑solving and project management skills in Agile environments
Experience with any of the following is advantageous: agentic frameworks (e.g., LangChain, LlamaIndex), deep learning frameworks, Langfuse, Langsmith, MCP (Model Context Protocol), bias mitigation techniques.
Apply now to find out more about this opportunity.
Lead Software Engineer Python AI LLM employer: Client Server Ltd.
Join a leading global finance technology consultancy that values innovation and collaboration, offering a competitive salary of up to £125k along with comprehensive benefits including private medical care, gym membership, and a supportive work culture. With a hybrid working model in the vibrant City of London, you'll have the opportunity to work on cutting-edge AI solutions while advancing your career in a diverse and dynamic team environment.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Software Engineer Python AI LLM
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and finance sectors. Attend meetups, webinars, or even casual coffee chats. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and LLMs. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key, so practice explaining your thought process clearly!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates. So, get clicking!
We think you need these skills to ace Lead Software Engineer Python AI LLM
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI, LLMs, and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:In your application, be sure to mention any hands-on experience you have with deploying LLMs and scalable MLOps. We’re looking for specific examples that demonstrate your expertise and problem-solving abilities.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Client Server Ltd.
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with the latest in AI, LLMs, and agentic coding. Be ready to discuss your hands-on experience with deploying LLMs and multi-modal models at scale, as this will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous projects. Highlight your experience in Agile environments and how you've collaborated with stakeholders to drive impactful outcomes.
✨Understand the Company and Its Clients
Research the global finance technology consultancy and its clients, especially in the investment banking sector. Knowing their challenges and how your skills can help solve them will show your genuine interest and make you stand out.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and the company's approach to AI solutions. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
